3855results about How to "Improve inspection efficiency" patented technology

The invention discloses a special unmanned helicopter system suitable for routing inspection on a power grid in a mountain area, which comprises a sensor network, an information transmission network and an information processing center. According to the special unmanned helicopter system suitable for routing inspection on the power grid in the mountain area, which is disclosed by the invention, in the complex terrain environment of the mountain area and under the complex weather conditions of the mountain area, a medium-sized special unmanned helicopter system suitable for routing inspection on the power grid in the mountain area and an application method thereof can be provided. According to the invention, effective fusion of cutting-edge advanced technologies such as an unmanned aerial vehicle platform technology, a data chain communication technology, a GIS (Geographic Information System) technology, a visible light / infrared / ultraviolet high definition shooting, storage and transmission technology, a distance measuring and sensing technology and an image diagnostic evaluation technology is sufficiently utilized to implement daily routing inspection on a power transmission line.

The invention discloses an inspection method and an inspection system. The inspection method comprises the steps that: inspection items, inspectors and inspection time corresponding to different inspection devices are set in an inspection server in advance; the inspection server generates inspection work orders according to the inspection items, the inspectors and the inspection time corresponding to the different inspection devices; the inspection server verifies the identity of a portable terminal and sends the inspection work orders to the portable terminal; the portable terminal downloads the inspection work orders, receives and stores inspection data of an inspected device inspected according to the inspection work orders by the inspector, and uploads the inspection data to the inspection server; the inspection server performs statistic analysis on the inspected data to generate a corresponding inspection report, and the inspection data of devices are reported through the hand-held portable terminal, so that the workload of inspection is greatly reduced and the inspection efficiency is significantly improved. Therefore, the collection and the analysis of the inspection data are realized, thereby providing the great convenience for users to know the condition of an inspected device in real time and perform the corresponding maintenance.

The invention discloses a multifunctional intelligent routing inspection robot used in a power tunnel, which includes a vehicle body, wherein a driving wheel and a driven wheel are arranged at the top of the vehicle body; and an intelligent positioning module, an intelligent tracking module, an intelligent obstacle avoidance module, an intelligent imaging module, an intelligent distance measurement module, and an intelligent control module are arranged on the vehicle body. The multifunctional intelligent inspection robot used in the power tunnel has a rich inspection content, achieves a high inspection work efficiency, and can completely cover conditions in the tunnel; and in case of emergency, the site condition is clearly collected the first time and sent to a monitoring center, and an efficient treatment measure is taken for a specific part of the tunnel or a cable when necessary.

An inspection system for air cargoes, in which an accelerator, a collimator, and a vertical detector arm are all mounted on the floor; detectors are provided within both the horizontal detector arm and the vertical arm; the accelerator, the collimator, the horizontal detector arm and the vertical detector arm are provided in a same plane; the horizontal detector arm is supported by the upper end of the collimator, the vertical detector arm and the horizontal detector arm are connected to each other and provided in the side opposite to the accelerator; a stable portal-shaped frame is formed by means of the collimator, the horizontal detector arm and the vertical detector arm; the conveying device is located under the horizontal detector arm, being perpendicular to the portal-shaped frame, the collimator is provided between the conveying device and the frame.

The invention discloses an intelligent power plant autonomous polling robot polling system and method. The method comprises the following steps: integrating a laser radar and a gyroscope, incrementally a raster map by using the laser radar through a SLAM algorithm; searching a middle target location with the minimum target cost estimation by using a reverse D* algorithm, thereby realizing robot dynamic path planning and positioning; reading a label through a RFID reader to acquire information needing to detect in the equipment; detecting an obstacle by using an ultrasonic sensor in the robot running process, and autonomously eluding environment obstacle in the path by combining the SLAM algorithm, thereby realizing autonomous navigation and movement in the complex power plant environment.Multiple non-contact sensors satisfy spot check demands of various sets of equipment. The polling system can automatically poll in the plant, the artificial control is unnecessary, the polling data istransmitted to a control center in real time, and the polling system can give an alarm when abnormity occurs; the polling system can replace the artificial polling, improve the polling efficiency, and improve the security of the power plant equipment.

The invention provides a power transmission line intelligent inspection system based on LiDAR and further provides a power transmission line intelligent inspection method based on LiDAR. The power transmission line intelligent inspection system comprises a three-dimensional quantifying information acquiring unit, a three-dimensional rebuilding unit and an intelligent inspection analysis unit. The three-dimensional quantifying information acquiring unit is suitable for acquiring power transmission equipment actual space three-dimensional quantifying information and power transmission line peripheral environment ground feature three-dimensional quantifying information, namely, point cloud data provided by LiDAR; the three-dimensional rebuilding unit is suitable for three-dimensional rebuilding of a power transmission line body and a corridor based on power transmission equipment actual space three-dimensional quantifying distribution information and power transmission line peripheral environment ground feature actual three-dimensional quantifying information; the intelligent inspection analysis unit is suitable for carrying out safety distance detection based on three-dimensional rebuilding results, carrying out safety distance analysis according to safety distance detection results and power transmission line safety standards and pointing out power transmission lines not catering to the safety standards or giving an alarm about the power transmission lines not catering to the safety standards. By means of the power transmission line intelligent inspection system and the power transmission line intelligent inspection method, requirements for line inspection data and function digitalization, standardization and visualization are achieved.

The invention relates to a PDA (personal digital assistant)-based realization method for intelligent patrol of electric equipment. The method is characterized by comprising the following steps: downloading patrol task information to a handheld PDA from an office PC (personal computer) by a patrol staff, patrolling predefined equipment patrol items one by one through an RFID (radio-frequency identification) electronic label by the handheld PDA during outdoor patrolling, and recording data content; after the patrol task is finished, submitting a patrol result to a server through a patrol management host. According to the method, the patrol quality of the electric field equipment can be improved, the problem of non in-place patrolling, missing patrolling, non on-time patrolling or the like is solved, the patrolling efficiency is improved, and the situations of low efficiency, high possibility of missing items and errors during manual reporting in the past are avoided.

The invention discloses a multi-rotary-wing intelligent inspection robot for an overhead line. The multi-rotary-wing intelligent inspection robot for the overhead line comprises an on-line walking module, a multi-rotary-wing flight system module, an autonomous line falling module, an on-line platform and a ground station receiving and processing platform. The on-line walking module comprises a walking frame, walking supporting wheels, walking driving wheels and a walking motor, and the inner end faces and the outer end faces of the walking supporting wheels are provided with inner guide rings and outer guide rings respectively. The multi-rotary-wing flight system module comprises a flight control equipment bin, rotary-wing arms, rotary wings, a flight motor, a cradle head, an inspection camera and a rise and fall support, and the upper portion of the flight control equipment bin is connected with the walking frame through a connecting supporting rod. The autonomous line falling module comprises left line falling camera, a right line falling camera and a multi-sensor module in the flight control equipment bin. The on-line platform is wirelessly connected with the ground station receiving and processing platform. The robot not only can inspect the electric transmission line above the line, but also can achieve on-line walking inspection of the electric transmission line by autonomously falling on or leaving the line, labor intensity and labor cost are greatly reduced, and inspection efficiency is improved.

The invention discloses a control method and system for intelligent unmanned aerial vehicle patrol for a power line. The method includes the steps that after receiving an instruction, input by a user, of starting unmanned aerial vehicle operation, an unmanned aerial vehicle base server transmits the instruction of starting unmanned aerial vehicle operation to a hangar and an unmanned aerial vehicle; the hangar responds to the instruction of starting unmanned aerial vehicle operation, and a hangar door is opened; the unmanned aerial vehicle responds to the instruction of starting unmanned aerial vehicle operation, flies out of the hangar, determines the position of the unmanned aerial vehicle relative to a tower to be patrolled through a beacon and transmits shot visible images and infrared images of the portion to be patrolled to the unmanned aerial vehicle base server through the hangar; the unmanned aerial vehicle base server analyzes the visible images and infrared images of the portion to be patrolled to determine suspected defect points and transmits the suspected defect points and position information of the suspected defect points to a mobile terminal bound in advance. According to the technical scheme, the power line in a region poor in natural condition can be patrolled normally, and safety maintenance can be conducted on the power line better.

The invention discloses an inspection system and an implementation method for the electrical equipment of an unmanned aerial vehicle photovoltaic power station. The inspection system includes an airborne terminal, a ground terminal, and a wireless communication module. The camera or monitoring equipment collects the image data of the electrical equipment of the photovoltaic power station, and at the same time receives the control commands sent from the ground terminal to the airborne terminal; the ground terminal is set on the ground platform to process the data collected and sent back by the airborne terminal , to control the flight and shooting operations of the unmanned aerial vehicle on the ground; the wireless communication module completes the functions of transmitting flight control instructions, flight status data, and video return data between the airborne terminal and the ground terminal. The inspection system provides real-time high-definition viewing of infrared images and visible light images, which is convenient for timely resolution of faults. The images are analyzed on the ground side through pattern recognition. repair.

The invention discloses a robot airship control system for overhead line inspection and a control method thereof. The control system comprises a on-board system and a ground-based system, wherein the on-board system has a structure that: a master controller DSP is connected with various sensors, a wireless communication module, a motor drive circuit, an image processor DSP and the like through analog-to-digital conversion ports, serial ports and other ports, and the image processor DSP is connected with an infrared CCD through an HPI port; the ground-based system has a structure that: an interface singlechip is connected with a ground PC, wireless communication equipment and a manual remote controller through serial ports, I / O and other ports; the on-board system and the ground-based system are communicated through an on-board wireless communication module and a ground-based wireless communication module; and a wireless camera transmits image information to the ground-based system through wireless video signals, and displays the image information on an image monitor. The robot airship control system for the overhead line inspection has three patterns, namely an infrared vision navigation pattern, a GPS navigation pattern and a manual remote control pattern, and has the advantages of high inspection efficiency, high cruisingability and high safety.

The invention discloses a wireless-transmission-based unmanned aerial vehicle platform for power line inspection. The unmanned aerial vehicle platform comprises an unmanned aerial vehicle-borne control platform and a ground station control platform, wherein the unmanned aerial vehicle-borne control platform is used for conducting power line inspection, the data of a power line and a tower is acquired through a visible-light camera, an infrared imager and an ultraviolet imager, the acquired data information is stored in real time and the stored data information is sent to the field control platform through a wireless transmission module A; and the ground station control platform is used for storing the received data information and transmitting the data information to a real-time monitoring module for image display. The wireless-transmission-based unmanned aerial vehicle platform for power line inspection has complete functional facilities and is used for inspecting comprehensively and accurately and is high in efficiency and security.

The invention relates to a power grid large data intelligent inspection system based on AR and an intelligent inspection method thereof. According to invention, several electrical equipment electroniclabels are arranged on a surface of electrical equipment, equipment identification patterns are arranged on the electrical equipment electronic labels, a data server stores auxiliary data of the electrical equipment and auxiliary information images generated during inspection, inspectors wear AR glasses, the AR glasses can be connected with a data server through wireless network, the AR glasses is used for obtaining image data and three-dimensional model data in the front of the AR glasses, the auxiliary data of the electrical equipment can be obtained from the data server, according to the image data, the auxiliary information image is generated according to the three-dimensional model data and the auxiliary data of the electrical equipment, and is projected to the inspectors, and the inspectors can be guided in real time for rapidly completing the inspection in a standard mode. The intelligent inspection system and the method can effectively increase the inspection efficiency and avoids of inspector shortage.

The invention discloses an indoor inspection robot system for a substation and an inspection method for the indoor inspection robot system. The indoor inspection robot system comprises a remote monitoring center and multiple robot terminals communicating with the remote monitoring center. Each robot terminal comprises a control module for controlling a robot to move in a three-dimensional space. The control modules drive movement modules so as to drive the robot to move in the X-axis direction, the Y-axis direction and the Z-axis direction and walk to the target detection position. Detection modules monitor the environment of the position and transmit monitoring data to the remote monitoring center. In the running and monitoring processes of the robot, safety protection modules keep detecting barriers and prevent the robot from moving out of the track. The remote monitoring center dispatches the robot terminals. By the adoption of the indoor inspection robot system for the substation and the inspection method for the indoor inspection robot system, the working labor intensity is lowered effectively, the substation operation and maintenance cost is lowered, the intelligent level and the automated level of normal inspection work and management are increased, and a detection means and an all-around safety guarantee are provided for intelligent substations and unmanned substations.

The invention discloses a mine intelligent robot inspection system and method. The mine intelligent robot inspection system comprises a track circulating rotation subsystem, a robot sensing subsystem,a wireless charging subsystem, and a remote control and deep learning subsystem. The track circulating rotation subsystem is used for driving the robot sensing subsystem to rotate circulatively around the track. The robot sensing subsystem is used for detection on the surrounding environment and communication. The remote control and deep learning subsystem is for receiving the detected data, andsending a control command to the track circulating rotation subsystem and the robot sensing subsystem. Through the technical scheme of the invention, under the premise of complying with the explosion-proof standard of a coal mine, according to the collection of environmental parameters, the deep learning is used to predict the unknown risk, and the remote control is used to control the robot inspection system, so that the automatic wireless charging is realized, the production safety is improved and the reliability of the inspection process is ensured.

The invention discloses an overhead rail type firefighting inspection robot system. The overhead rail type firefighting inspection robot system comprises an overhead rail part, overhead rail type firefighting inspection robots, fire extinction equipment, a position identification block, a charging position, a remote control center and wireless signal transmission equipment. Each overhead rail type firefighting inspection robot comprises a traveling part, a lifting vision device, a position detection device, a detector, a fire extinction control device and a control and communication device. The robots move on a rail of the overhead rail part. The position detection devices conduct positioning by identifying the position identification block. The robots can be charged at the charging position. The fire extinction control devices operate the fire extinction equipment. The control and communication devices achieve communication of the robots and the remote control center through the wireless signal transmission equipment. The robots of the overhead rail type firefighting inspection robot system can conduct inspection detection along the rail, find out equipment failures and potential safety hazards and can conduct fire extinction operation in time.

The present invention is an automated optical inspection method using deep learning, comprising the steps of: providing a plurality of paired image combinations, wherein each said paired image combination includes at least one defect-free image and at least one defect-containing image corresponding to the defect-free image; providing a convolutional neural network to start a training mode of the convolutional neural network; inputting the plurality of paired image combinations into the convolutional neural network, and adjusting a weight of at least one fully connected layer of the convolutional neural network through backpropagation to complete the training mode of the convolutional neural network; and performing an optical inspection process using the trained convolutional neural network.

A testing system for inspecting electronic devices includes a first transparent disk, a first image capturing unit disposed under the first transparent disk, a second disk disposed next to the first transparent disk, a guiding unit disposed on adjacent area between the transparent disk and the second disk, and a plurality of second image capturing units disposed around the second disk. A plurality of electronic devices is continuingly supplied onto the first transparent disk and the first image capturing unit is used for capturing the images of the bottom surfaces of the electronic devices. Then, the electronic devices are guided to the second disk via the guiding unit and the second image capturing units are used for capturing the images of other surfaces of the electronic devices. A testing method for electronic devices is further disclosed.

The invention provides a method used for testing the appearance defects of a circuit board, comprising the steps as follows: loading, collecting frontal images of the circuit board, collecting the reverse images of the circuit board, analyzing and sorting the images. The method can complete the appearance defect check on two surfaces of the circuit board extremely conveniently and quickly, can adopt a computer for automatic control, has quick check speed and high check efficiency, and can check the defects on the circuit board such as foreign matter, exposed copper, supplemented oil, scraping, poor gold-plating, character error, non-uniform green oil, non-uniform welding disc, non-uniform depth of channel, residual copper, omitted printing, developing and the like.

The invention discloses an artificial intelligence-based unmanned aerial vehicle power transmission line inspection system and a method. The system comprises an unmanned aerial vehicle, a background server and an unmanned aerial vehicle control platform. The unmanned aerial vehicle acquires a target image according to a preset control instruction and transmits the target image to the background server. The background server receives the target image, performs image analysis, and sends the analysis result to the unmanned aerial vehicle control platform. The image analysis comprises the steps ofdefect automatic identification and forest hidden danger analysis. The unmanned aerial vehicle control platform is used for receiving a control instruction of an operator about the unmanned aerial vehicle, and pushing the analysis result to a shortcoming-eliminating team / group according to a confirmation instruction of the analysis result. According to the invention, the automation level of the line inspection and shortcoming-eliminating operation is improved. The false alarm rate and the missing report rate of manual identification and treatment are reduced. The accuracy and the effectiveness of the analysis are improved.

The invention discloses a petrochemical plant inspection robot environment modeling and map building device and method. The device comprises an anti-explosion shell which internally comprises a mastercontrol cavity, a wiring cavity and a power supply cavity. The master control cavity is internally provided with an industrial personal computer, a differential GPS module, an inertia measurement module, a signal isolation safety barrier module, a communication module and a power supply conversion module. The wiring cavity is used for connection of all the power supply and communication cables. The power supply cavity is internally provided with a power supply module. The anti-explosion shell is externally provided with a visual module, a laser radar, a differential GPS module antenna and a mileage measurement module. The industrial personal computer implements high-precision positioning of automatic environment adaptation of the robot according to the acquired visual information, the laser radar information, the differential GPS information, the mileage information and the inertia information and builds the environmental model and the map of the plant based on the positioning result.The high-precision environmental model and map are acquired through the method of different attitude information of multiple types of sensors so that the environmental adaptability and the accuracy of the system can be enhanced and the system also meets the anti-explosion safety requirements.

The invention relates to a watt-hour meter inspection device and method, in particular relating to a three-phase intelligent watt-hour meter inspection device and method. The existing watt-hour inspection device has long inspection time, and needs an extra instrument for inspecting the power consumption of a watt-hour meter; the existing watt-hour meter inspection device has low efficiency and can inspect only one watt-hour meter for one time; and in addition, the existing watt-hour meter inspection device is inability of testing the cost-control trip of the intelligent watt-hour meter. The three-phase intelligent watt-hour meter inspection device comprises a standard clock, a three-phase program-controlled source, a standard watt-hour meter, error calculators, power consumption testers and a communication module. The inspection device provided by the invention is characterized by comprising trip monitoring units, wherein the inspection device has a plurality of testing work positions; one power consumption tester, one trip monitoring unit and one error calculator are arranged on each testing work position; each error calculator is provided with a counting calculation module; and the standard watt-hour meter is used for metering an output module. The three-phase intelligent watt-hour meter inspection device is rapid in inspecting watt-hour meters, and can inspect the power consumption and the cost-control trip.

The invention relates to a machine room inspection system and a working method thereof. The inspection system comprises a movable robot and a mechanical arm, a movable robot, an information shooting part (31), a positioning detection part (32) and a control part, wherein the movable robot comprises a mechanical arm (2); the information shooting part (31) is arranged on the mechanical arm (2) terminal and is used for shooting the state attribute information of the equipment to be detected in the machine room; the positioning detection part (32) is arranged at the tail end of the mechanical arm(2) and is used for detecting the orientation information of the information shooting part (31) and the target to be shot; and the control part is used for moving the robot to the equipment to be detected according to the pre-planned route, according to the detection information provided by the positioning detection part (32), and the information shooting part is enabled to arrive at a proper shooting position for shooting by controlling the movement of the mechanical arm. According to the inspection system, equipment in the machine room can be intelligently inspected, and the inspection efficiency is improved; after the robot arrives at the equipment to be detected, the information shooting part is positioned to a proper shooting pose through the movement of the mechanical arm, so that the information acquisition is more accurate.

The invention discloses an adaptive imaging quality optimization method for the unmanned aerial vehicle autonomous inspection of a power transmission line. According to the present invention, an eventtrigger loop control technology based on an unmanned aerial vehicle spatial position error threshold, an event trigger loop control technology based on a pan-tilt attitude position error threshold and an event trigger loop focusing technology based on a Laplace operator image definition threshold are used in sequence, the imaging quality of the inspection photos is detected at the aspects of photo shooting angle, lens focusing condition, photo clarity and the like, and a corresponding method is adopted for optimization, so that the final imaging quality of the photos is ensured. An iterativethought is adopted, the photo shooting angle is gradually optimized from the shooting position, the head direction and the pan-tilt camera attitude information, and the photo shooting angle precisionis improved, so that a target device is located at the image center position as much as possible, the subsequent focusing, definition adjustment and the like are facilitated, and the imaging quality is ensured. Meanwhile, the adjustment amplitude of the pan-tilt camera attitudes is reduced, and the mechanical loss is reduced.

The invention provides a laser radar-based intelligent early-warning evaluation method for a power transmission line. The method comprises the following steps: information obtaining of the power transmission line, three-dimensional graphic modeling of the power transmission line, data analysis and judgment, and early-warning and power transmission line security evaluation. High-density and high-precision laser radar point cloud and optical image data on an ultra-high-voltage or high-voltage power transmission line are obtained by a laser radar scanning system carried by a helicopter platform; rapid high-precision three-dimensional measurement and spatial analysis of the power transmission line are achieved; and the analysis is applied to specific inspection and management work, such as sag calculation, line windage yaw check after three-dimensional modeling and line hazard analysis, in power transmission line operation and maintenance. The invention further provides a laser radar-based intelligent early-warning evaluation system for the power transmission line. The system comprises a power transmission line information obtaining unit, a data processing unit, a data storage unit and a feedback unit. According to the system, inspection and early-warning of the power transmission line can be rapidly and accurately achieved; and a safety evaluation report can also be provided to a user.

The invention relates to the technical field of patrol inspection of electric power circuits and more specifically relates to an intelligent flight control method and system for fine patrol inspection of a UAV. According to the invention, first, through manual fine patrol inspection, patrol inspection path nodes can be recorded in detail and patrol inspection paths are played back and optimized. Second, pilot fight verification is performed continuous optimization is executed. Finally, a fine patrol inspection path database for each iron tower is formed. Based on the optimized patrol inspection path databases, full automatic flight patrol inspection for the iron towers can be realized. By adopting the iron tower fine patrol inspection operation mode, patrol inspection flight paths are optimized; the positioning precision is far higher than that of manual operation, flight photographing is normalized and quality is ensured. Besides, each UAV can provide patrol inspection for multiple iron towers, outside-visibility range photographing can be realized and battery consumption in a flight process can be in fine control, so that patrol inspection efficiency can be improved. Besides, technical difficulties for patrol inspection operation workers are reduced and the application range is enlarged.

The invention provides a preparation equipment mobile monitoring system and method based on the internet of things and industrial cloud. The system comprises an industrial cloud server, an intelligent terminal, a preparation equipment data collection unit and a local server. The preparation equipment data collection unit comprises a PLC, a data collection sensor and a video collection module. The data collection sensor comprises a wired sensor and a wireless sensor. The input end of the wired sensor and the input end of the wireless sensor are connected with equipment monitored by an ore refinery. The output end of the wired sensor is connected with the input end of the PLC. The wireless sensor is connected with a local server through a wireless gateway. The output end of the PLC and the output end of the video collection module are connected with the local server. The industrial cloud server and an intelligent terminal are communicated through a wireless network. Equipment monitoring does not need to be performed inside an immobile place, anytime and anywhere monitoring data can be provided for enterprise managers and researchers, and convenience and rapidness of the scheme are reflected.

The invention relates to a device for bridge inspection, in particular a novel self-walking intelligent bridge inspection vehicle which comprises a lower carriage (8) and an upper carriage (10) connected with the lower carriage through a pivoting support (9), wherein the upper carriage (10) is connected with a vertical arm oil cylinder (16) at the upper end part of a vertical arm (17) through a quadrangular connecting and lifting mechanism, a rotating device (27) is arranged at the lower end part of the vertical arm (17) and connected with a horizontal working arm that extents to the bottom of a bridge, photographing devices are arranged on the rotating device (27) and the horizontal working arm, a frame oil cylinder (11) is arranged between the upper carriage (10) and the quadrangular connecting and lifting mechanism, and a connecting oil cylinder (19) is arranged between the rotating device (27) and a first telescopic arm (22). As the device is unmanned, the requirements to the structural strength of a cantilever crane are relatively smaller, thereby the volume and the weight of the bridge inspection vehicle are reduced, and the flexibility is enhanced; and meanwhile, an intelligent video device is adopted to store inspection videos, and the more specific analysis can be carried out conveniently, thereby the inspection result is more objective, and the inspection efficiency is higher.

A three-axial acceleration sensor inspection device is provided for inspecting a three-axial acceleration sensor that detects acceleration components in three axes crossing perpendicularly with each other and outputs acceleration component signals. The three-axial acceleration sensor inspection device includes a test plate for mounting the three-axial acceleration sensor thereon; a supporting plate for supporting and rotating the test plate; a main rotational shaft for rotating the supporting plate. The supporting plate is arranged radially around the main rotational shaft along a radius direction of the main rotational shaft, and is disposed at each of at least four locations with an equal angular interval along a circumferential direction of the main rotational shaft.